Senior Data Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Analyst (Capacity Management): Building a data-driven foundation for infrastructure planning and operations with an accent on observability, key metrics, and forecasting models. Focus on developing scalable dashboards, demand modeling, and decision support for resource allocation across regions and GPU clusters.
Location: Amsterdam, Netherlands; London, United Kingdom
Company
leads cloud computing for the global AI economy, headquartered in Amsterdam with R&D hubs across Europe, North America, and Israel, and over 1400 employees including 400+ engineers.
What you will do
- Define and own key metrics for availability, utilization, and capacity health; build comprehensive dashboards.
- Develop rolling forecasts, demand models, and scenarios to identify shortages and imbalances.
- Support high-impact decisions on data center expansion, resource allocation, and product constraints.
- Model trade-offs in resource ratios, allocation strategies, and demand shifts across multiple regions and clusters.
- Operate with high autonomy, partnering with engineering, product, and business teams on infrastructure scaling.
Requirements
- 5+ years in data analytics, data science, or related fields, ideally in high-scale infrastructure environments.
- Strong ownership to drive problems from framing to actionable recommendations.
- Solid SQL and Python for analysis, modeling, and large datasets.
- Hands-on experience building dashboards and data products (Grafana, DataLens, or similar).
- Operational mindset for evolving data environments; decision-making under ambiguity.
Nice to have
- Experience in infrastructure, cloud, or capacity domains.
- Background in forecasting, time series analysis, or demand planning.
- Understanding of statistical methods.
- High-growth or startup experience.
- Proficiency in Russian.
Culture & Benefits
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth.
- Flexible working arrangements.
- Dynamic, collaborative environment valuing initiative and innovation.
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